Reproducibility related to our recent work of redeem robustness link:
- 00.consensus_validation.ipynb
- 01.benchmark_edge_effect.ipynb
- 02.Redeem_filter2_benchmark.ipynb
- 03.1mol_error_rate_estimate.ipynb
- 04.network_graph_metrics.ipynb
- 05.kp_mouse.ipynb
- 06.KNN_celltype_origin.ipynb
- 07.nearest_neighbor_tree.ipynb
Raw data are availble GSE219015
Processed data are available at Figshare https://doi.org/10.6084/m9.figshare.24418966.v1
- redeemV is set of in-house Bash pipeline and Python scripts for mapping and deep mitochondrial mutation calling.
- redeemR is an in-house R package for downstream lineage tracing and single cell integrative analysis.
Please check out the paper Deciphering cell states and genealogies of human hematopoiesis
If you have any questions or suggestions, please feel free to contact us. Feedbacks are very welcome! (Chen Weng, cweng@broadinstitute.org)